DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
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Updated
Jul 19, 2024 - Python
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
U-Time: A Fully Convolutional Network for Time Series Segmentation
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively
Sleep As Android integration for Home Assistant
An open-source sleep stage classification Python package
Dreamento (DReam ENgenieering TOolbox): a Python-based software for dream engineering while monitoring/analyzing real-time EEG data.
Helper functions for the SNORE project
End-to-end Sleep Staging with Raw Single Channel EEG, BHI 19
EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.
A ML model that scans the driver for drowsiness and alerts them incase of danger while driving. Alerts are send via Telegram message and audio cue. Also includes various features such as information of where you last fell asleep, analysis of trip, and recommendations based on when you should take rest and when you were most drowsy.
Luna software for sleep EEG analysis (base)
Example conversion of Angular to Cordova
View your sleep diary
A compact convolutional deep neural network with an encoder/decoder structure to detect at a 5-millisecond resolution level non-apnea sleep arousals from multi-channel polysomnographic recordings.
sleep scoring based on intracranial recordings
A report for use by sleep doctors
This toolbox was designed for detecting spindles and slow waves in iEEG data recorded from epileptic patients.
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